diff --git a/src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp b/src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp
index d68ab4c..42dd49c 100644
--- a/src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp
+++ b/src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp
@@ -7,7 +7,9 @@
 
 #include "NeonWorkloadUtils.hpp"
 
+#include <armnn/utility/NumericCast.hpp>
 #include <armnn/utility/PolymorphicDowncast.hpp>
+
 #include <ResolveType.hpp>
 
 namespace armnn
@@ -23,8 +25,8 @@
     const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
 
     // ArmNN blockShape is [H, W] Cl asks for W, H
-    int32_t blockHeight = boost::numeric_cast<int32_t>(descriptor.m_BlockShape[0]);
-    int32_t blockWidth  = boost::numeric_cast<int32_t>(descriptor.m_BlockShape[1]);
+    int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[0]);
+    int32_t blockWidth  = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[1]);
 
     arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
             descriptor.m_PadList[1].first, descriptor.m_PadList[0].first);
@@ -51,8 +53,8 @@
             PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
 
     // ArmNN blockShape is [H, W] Cl asks for W, H
-    int32_t blockHeight = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
-    int32_t blockWidth  = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
+    int32_t blockHeight = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
+    int32_t blockWidth  = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
 
     arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
             m_Data.m_Parameters.m_PadList[1].first, m_Data.m_Parameters.m_PadList[0].first);